Edelweiss Hospital Google Review Dataset

Dataset Overview
This collection consists of 1,445 patient reviews extracted from Edelweiss Hospital’s Google Maps page. It serves as the core evidence for the sentiment analysis and operational strategy research.

1. RAW Data (- RAW.csv)
This file represents the original, unprocessed extraction from the web.

Content: Includes the hospital title, URL, star ratings (1-5), reviewer names, and the authentic text of the reviews.
Characteristics: It captures the "noise" of online electronic Word-of-Mouth (eWOM), featuring informal Indonesian language, local slang, emojis, and special characters. It is the primary source used for initial data exploration.

2. CLEAN Data (- CLEAN.csv)
This file is the refined and annotated version optimized for Natural Language Processing (NLP).

Content: Features a structured layout with unique index numbers (No) and, most importantly, a sentiment_label column.
Characteristics: The text has been cleaned to remove noise and labeled as "positive" or "negative." This dataset is the ready-to-use input for training the IndoBERTweet model and performing topic modeling with Latent Dirichlet Allocation (LDA).